Fusion of thermal and visual images for efficient face recognition using Gabor filter

被引：5
|
作者：
Ahmad, Jahanzed [1 ]
Ali, Usman [1 ]
Qureshi, Rashid Jalal [2 ]
机构：
[1] COMSATS Inst Informat Technol, Dept Elect Engn, Abbottabad, Pakistan
[2] Univ Tours, Lab Informat, Tours, France
来源：
2006 IEEE INTERNATIONAL CONFERENCE ON COMPUTER SYSTEMS AND APPLICATIONS, VOLS 1-3 | 2006年
关键词：
D O I：
10.1109/AICCSA.2006.205080
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
Face recognition from visual images is difficult task due to illumination problem and in thermal imaging the main problem is of glasses. The solution of both these problem is data fusion of thermal and visual images. This paper presents the implementation of Human face recognition system using data fusion of visual and thermal images. Gabor filtering technique which extracts facial features is used in the proposed face recognition.. To our knowledge, this is the first visual and thermal data fusion recognition system which utilizes Gabor filter. Paper also discusses the performance improvement of face recognition along with issues of memory requirements.
引用
收藏
页码：135 / +
页数：2
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